Article Details

Comparative Analysis of Different Threshold Estimators for Noise Reduction | Original Article

M. Zahid Alam*, Ravishankar Sharma, A. S. Zadgoankar, in Anusandhan | Technology & Management

ABSTRACT:

The choice of threshold in wavelet based image denoising is very important. It has been seen that wavelet thresholding methods had better results than classical methods. However estimation of threshold and selection of thresholding function are still the challenging tasks .Threshold determination depends on the pixel characteristics and not on the size of image to be denoised. Different Threshold estimators are applied to image corrupted with Gaussian , poisson & speckle noise. Finally all the images are compared on the basis of PSNR & MSE.